Foundations
Matrices as linear maps
Start with the shape behind the formula. Trace how a matrix maps basis vectors to its columns and therefore maps any input by taking the same linear combination of those columns.
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ML from Primitives · senior to principal
A free visual field guide for senior ML, AI systems, and frontier-lab interviews.
Three visual posts across foundations, systems, and interview judgment.
Foundations
Start with the shape behind the formula. Trace how a matrix maps basis vectors to its columns and therefore maps any input by taking the same linear combination of those columns.
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Frontier systems
See the memory movement that makes a kernel fast. Follow one query block as key and value blocks stream through SRAM tiles, updating softmax state without materializing the full score matrix.
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Interview judgment
Make the tradeoff explicit before you defend it. Separate the quality of a values decision based on evidence available at the time from its eventual outcome, while still using the outcome to improve the next decision.
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Each book carries a visual sample from its own lessons.
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Math, probability, classical machine learning, deep learning, and the core questions that test them.
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Optimization, reliable experiments, implementation, debugging, and research judgment.
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Metrics, experimental validity, calibration, product decisions, and production evaluation.
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Transformer internals, inference, retrieval, evaluation, agents, alignment, and post-training.
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Accelerators, distributed training, inference systems, reliability, cost, and full ML architecture.
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Embeddings, candidate generation, ranking, search metrics, cold start, and feedback loops.
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Sequential decisions, value and policy methods, environments, rewards, and robotics policy learning.
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Visual models, multimodal systems, sequence modeling, natural language, and speech.
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Role choice, level calibration, project stories, behavioral judgment, and long-form field guides.
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A visual-first coding field guide for data structures, algorithms, and practical AI coding. Learn each problem by seeing the state it preserves, the move it makes, and the invariant that makes the move safe.